Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.03010.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:03:12.057037Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:27:30.936263Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b38c6254-14b9-4c17-a619-91865409fd86 · inbound
Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks cites this paper.
Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:03:12.057037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01508bbe-f781-4785-b3d3-cda9607f59e0 · inbound
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models cites this paper.
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:31:27.318059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1b153f3-dcfb-4886-a998-338e1fd4d020 · inbound
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs cites this paper.
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:38:38.358259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57b138e3-b806-41da-9d28-48b44564397f · inbound
Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis cites this paper.
Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:20:22.524627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 967164c8-6488-436c-a749-dcaaa8905e19 · inbound
Depth Gives a False Sense of Privacy: LLM Internal States Inversion cites this paper.
Depth Gives a False Sense of Privacy: LLM Internal States Inversion Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:18:12.894923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b84757f-e37a-48b3-a878-fd70c06db102 · inbound
inversedMixup: Data Augmentation via Inverting Mixed Embeddings cites this paper.
inversedMixup: Data Augmentation via Inverting Mixed Embeddings Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:00:24.757233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf74a403-037a-470a-8ae4-8ffa0857f277 · inbound
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:27:30.937706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 29eb7100-1772-4142-a1a9-bf522b155093 · inbound
TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies cites this paper.
TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T19:15:01.143006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.